What Executive Order 14434 says
On September 29, 2026 the President signed Executive Order 14434, Inaugurating The Era Of Super Intelligence. It directs executive departments and agencies to use "Super Intelligence" and "SI" in place of "Artificial Intelligence" and "AI" in official correspondence, websites, reports and policy documents, to the maximum extent permitted by law. The change is already visible. The old ai.gov address now redirects to si.gov, and the NIST center that works with AI developers has been renamed the Center for Advancing Innovation and Standards for Super Intelligence.
The order also gives the President's science adviser 60 days to send proposed legislative language for a federal definition of Super Intelligence, which puts that deadline around late November. Agencies do not have to rewrite previously issued regulations, Presidential actions, contracts or grants. The order also says it creates no right or benefit that anyone can enforce in court.
What Super Intelligence means in law right now
Section 3 is the part worth reading slowly. For purposes of the order, Super Intelligence means the technologies covered by the existing statutory definition of artificial intelligence in 15 U.S.C. 9401(3). In legal terms, no new category of technology was created and no capability threshold was set. A chatbot that answered support emails in August answers them under a new federal name in October, and the definition that applies to it uses the same words.
The word already had another meaning before the order. AI labs use superintelligence for systems that would outperform people at most thinking work. Safe Superintelligence Inc. was founded around that goal, and Meta publishes a vision it calls personal superintelligence. So two meanings now circulate side by side. In federal documents dated after September 29, 2026, SI is the government's name for what most of industry still calls AI. In lab announcements and the press, superintelligence usually means a future capability level. When a vendor or a board member uses the word, ask which of the two they mean.
Why the word changes the conversation inside your company
Names set expectations. When federal pages call everyday software Super Intelligence, some customers will expect more from your AI features than those features can do. Staff may read the headlines and worry about their roles before anyone has changed a single workflow. Boards tend to ask a direct question after news like this, usually some version of what the company's plan is.
In our builds we suggest a plain internal habit. Describe what the system does in the workflow and name the person who approves its output. A sentence like "an agent drafts the certificate of insurance and a licensed account manager approves it" survives any change in vocabulary. The same precision helps in customer contracts, because a contract that promises superintelligence invites a later argument about what exactly was promised. Marketing teams can use the new term if they like. Nothing in the order requires a private company to adopt it or avoid it.
The federal documents that can touch a private company
The renaming order sits on top of a larger stack of federal AI documents published since January 2025. For a company with 50 to 2,000 people, four parts of that stack are worth tracking. We cover each one in more depth in our guide to the US federal AI push, explained for business.
State law comes first. In December 2025, Executive Order 14365, Ensuring a National Policy Framework for Artificial Intelligence (December 11, 2025), set a policy of a minimally burdensome national framework and named Colorado's algorithmic discrimination law as an example of concern. It directed the Justice Department to form an AI Litigation Task Force to challenge state AI laws. It also asked the Commerce Department to publish an evaluation identifying state laws it considers onerous, with some federal broadband funding tied to the result. An executive order cannot itself preempt state law. Until a court rules or Congress passes a statute, the state AI laws that cover your business still apply, including rules on automated decisions about consumers or employees.
Governance frameworks come second. The NIST AI Risk Management Framework is intended for voluntary use. Many companies still use it as the reference for their AI policy, because customers and auditors recognize its structure. NIST says version 1.0 is being revised as part of the White House AI Action Plan, so map your controls to it and expect the document to change.
Procurement rules matter only if you sell to federal agencies. Executive Order 14319, Preventing Woke AI in the Federal Government (July 23, 2025), directs agencies to buy only large language models that meet the order's Unbiased AI Principles, with compliance terms written into federal contracts. OMB memo M-25-22, Driving Efficient Acquisition of Artificial Intelligence in Government (April 3, 2025) shapes how agencies buy AI, with emphasis on avoiding vendor lock-in and limiting vendor use of government data for model training. If you have no federal customers, neither one reaches you directly.
Workforce training is the fourth item. America’s AI Action Plan (July 2025) recommends that Treasury issue guidance saying many AI skills programs may qualify for tax-free employer reimbursement under Internal Revenue Code Section 132. That is a recommendation inside a plan. We have not confirmed that Treasury has issued the guidance, so check with your tax adviser before you budget around it.
What does not apply to a private company
Several widely reported documents bind the government and stop there. OMB memos M-25-21 and M-25-22 are addressed to the heads of executive departments and agencies. They govern how agencies use and buy AI, and they place no duty on how a private company uses AI internally. EO 14434 itself applies to executive branch usage. Your company has no obligation to say Super Intelligence on its website or in its contracts.
Executive Order 14409, Promoting Advanced Artificial Intelligence Innovation and Security (June 2, 2026), sets up a voluntary framework for frontier model developers to give the government early access to covered models. It states that nothing in it authorizes a mandatory licensing or preclearance requirement for developing or releasing AI models. The Genesis Mission and the June 2026 national security memorandum on AI govern federal agencies and their partners. We found no federal statute that sets binding general AI obligations on private companies. Sector regulators and state laws keep applying, and that is where your compliance work sits today.
Practical steps for the next 90 days
A new name does not change what your systems can do on Monday. Model capability keeps rising every few months, and the companies that gain from each release are the ones whose data and approvals are ready for it. Our Superintelligence Readiness Check scores eight dimensions. In a first quarter, four groups of work carry most of the value.
- Weeks 1 and 2, human oversight. Write one rule. No AI output reaches a customer or a regulator without a named person approving it. Then make the system enforce the rule and record who approved each output and what they changed.
- Weeks 1 to 4, AI inventory. Pull a month of SaaS and network logs and list every AI service your staff use. Give each tool an owner and a risk tier, and check it against the state laws that apply where you operate.
- Weeks 3 to 8, data access and agent identity. Pick one document-heavy workflow, such as invoice matching or contract review, and map where its records live. Give the agent its own login, scoped to the systems that workflow needs, and log every action it takes.
- Weeks 6 to 12, measurement and model portability. Time the current process for a week before you build, so you have a baseline. Keep prompts and business rules in your own code with a small test set, so you can compare a new model against the current one in an afternoon.
Name one person who owns this work and give them a 90-day goal measured in hours saved. Without an owner, the inventory goes stale and the approval rule stays on paper. With one, the second workflow reuses the data access and approval pattern from the first and moves faster.
For the wider picture, start at our superintelligence readiness hub, which explains both meanings of the word and links the readiness check and the policy guide.
How we help
We do not build superintelligence and we will not claim to. We build production AI agents that pay for themselves now and leave your approvals and system access in better shape for the next model. We scope one workflow with you and sign acceptance criteria on day one. Then we build it in your environment in two weeks, and you pay $10,000 only after every criterion is met, with nothing upfront. If you have a workflow in mind, tell us the workflow and we will scope it with you.
This article explains published federal documents as of October 16, 2026. It is not legal advice.
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